Abstract
Graph transformations are frequently used for describing and manipulating models in model driven software development. There are several frameworks and solutions for graph transformations but in case of large, industrial-sized models, performance still remains a key issue. We are working on a transformation algorithm that can efficiently use the computational capabilities of the multicore processor architectures. By applying the transformations in parallel, our aim is to create a method useful in research and industrial projects as well. The introduced algorithm is not only a theoretical result; we have implemented and applied it on real-world industrial-sized models. The paper elaborates the test results and compares the performance of the parallel and the sequential execution. The results of the measurements are analyzed as well as future research directions are given.
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Imre, G., Mezei, G. (2012). Parallel Graph Transformations on Multicore Systems. In: Pankratius, V., Philippsen, M. (eds) Multicore Software Engineering, Performance, and Tools. MSEPT 2012. Lecture Notes in Computer Science, vol 7303. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31202-1_10
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DOI: https://doi.org/10.1007/978-3-642-31202-1_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31201-4
Online ISBN: 978-3-642-31202-1
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